Empresa:

Oliver Wyman

Descrição da Função

At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

As a business of Marsh, we work alongside the world's leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue of $27 billion and more than 95,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.

For more information, visit , or follow us on LinkedIn and X .

The Opportunity:

The Quotient Inside AI Product Enablement Engineer supports the AI Capability & Adoption function through structured AI experimentation, prompt engineering, workflow testing, and enablement support.

This role focuses on reliable execution, technical fluency, and consistent knowledge capture while developing deeper expertise in AI tools and workflows for the Oliver Wyman Centre of Excellence for Quotient Inside.

Working under the direction of the Quotient Inside Product Strategy leadership team and Director of AI Product Enablement, the Engineer contributes to coaching support, prompt refinement, custom GPT testing, and artifact creation that help scale responsible AI usage and adoption across the firm.

This is a hands-on contributor role that emphasizes experimentation, documentation, and quality delivery.

This is a hybrid role requiring 60% office presence.

Key Responsibilities:

AI Experimentation & Prompt Engineering:

• Executing structured prompt testing and refinement across defined AI use cases the Centre of Excellence may own and manage
• Supporting configuration and testing of custom GPTs and AI assistants for the Centre of Excellence
• Validating outputs for clarity, consistency, safety, and usability

Workflow Prototyping & Technical Support:

• Assisting in prototyping lightweight AI workflows under guidance
• Identifying basic technical constraints and escalate appropriately
• Supporting experimentation across AI tools to assess feasibility and usage boundaries

Documentation & Living Exemplars

• Building and maintaining prompt libraries, living exemplars, and structured guides for the Centre of Excellence
• Documenting tested use cases in reusable formats
• Contributing technical examples and demos to training and enablement materials

Coaching Support & Community Engagement

• Supporting office hours and working sessions
• Helping translate user questions into structured AI prompts or Product Strategy team actions and backlog items
• Guiding colleagues toward appropriate resources and exemplars
• Supporting AI coaching and responding to inbound questions

Pattern Awareness & Feedback

• Tracking recurring questions and usage patterns
• Sharing structured observations with the AI Product Strategy team leads
• Contributing technical input to decks and enablement documentation

Experience Required:

• At least 2 years of experience in analytics, digital enablement, or technology-adjacent roles
• Exposure to AI tools and interest in experimentation
• Experience of supporting documentation or analysis work in collaborative, cross functional environments

Skills and Attributes:

• AI tool fluency and prompt experimentation
• Comfortable operating within defined processes
• Curious and experimentation driven
• Detail-oriented and reliable in execution
• Analytical mindset and attention to detail
• Clear written communication skills
• Strong learning orientation
• fluent English

What we can offer you:

• Full time job contract with an attractive compensation package
• Flexible benefits package which you can tailor to your needs
• Opportunity for professional growth in a stable, global company
• Access to mentoring and training programs
• Working in diverse and dynamic teams, friendly and flexible workplace that promotes work-life balance
• A range of digital collaboration and online communication tools to support effective team work
• Various social initiatives and learning opportunities adapted for virtual settings.

Observações

Lisboa (Portugal)